Deep Dish : Deep Learning for Classifying Food Dishes

We consider the problem of classifying food dishes. Food items have unique characteristics they come in different colors and shapes, can be clustered into groups (e.g. fruits, vegetables), and can be combined in several ways to prepare a meal etc. This makes images of food dishes particularly interesting to classify. We show that convolutional neural networks are quite suitable for this task, and outperform traditional machine learning approaches in classifying food dishes.